Titlebook: Handbook of Scan Statistics; Joseph Glaz,Markos V. Koutras Living reference work 20200th edition

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Bayesian Scan Statistics,ian cluster detection and modeling. Finally, we discuss several promising areas for future work in Bayesian scan statistics, including multiple cluster detection, nonparametric Bayesian approaches, extension of Bayesian spatial scan to nonspatial datasets, and computationally efficient methods for model learning and detection.

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Living reference work 20200th editionGoogle Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and cl

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Scan Statistics on Graphs and Networks, graphs, in both purely spatial and spatio temporal frameworks. Computation of graph-structured scan statistics is challenging, and usually leads to NP-hard problems. We also review several popular convex approximation algorithms for computing scan statistics in this article.